About Me

I'm a product leader and independent AI researcher with over 15 years of experience building and scaling enterprise SaaS and AI platforms. I have led multiple zero-to-one initiatives from concept to product-market fit, with products reaching eight-figure ARR and broad enterprise adoption across global markets.

I define product vision and strategy across the lifecycle, driving innovation by framing customer problems, shaping monetization models, and guiding technical execution through production scale. Combining strategic product leadership with deep AI fluency, I build high-performing autonomous agents, AI services, ML models, and secure data platforms for regulated enterprises. In close collaboration with customers, design, and engineering teams, I translate complex operational challenges into scalable products that deliver durable business value.

My research focuses on responsible AI, risk evaluation, and governance. I developed BEATS, a benchmark for assessing bias and structural fairness in large language models, and SHARP, a risk-based framework for analyzing and quantifying social harm in AI systems. My work has been published in arXiv, MIT Science Policy Review, and IEEE.

I operate as a strategy-to-production builder, translating customer insight into product vision, defining economic models, designing scalable architectures, and shipping AI systems that deliver measurable business outcomes.